An open-source framework for building autonomous AI agents that interact with the real world through tools and memory.
Open-source multi-agent LLM framework for end-to-end automated machine learning pipelines.
Open‑source multi‑agent framework with drag‑and‑drop UI, distributed execution, tool calls, and fault tolerance.
Open‑source SDK for building and orchestrating single or multi‑agent systems with LLMs and tool integration.
Open‑source platform to connect LLMs with MCP servers and build custom AI agents with tool access.
Open‑source large‑scale reasoning model with 1 million token context and hybrid Mixture‑of‑Experts architecture.
An open‑source vector database and embeddings engine for building retrieval‑augmented AI applications.
An open-source protocol enabling secure, decentralized communication among AI agents.
A modular framework for building, deploying, and managing AI agents across diverse workflows.
An open protocol enabling AI agents to communicate and collaborate across diverse systems securely.
An SDK for developing and deploying LLM-based AI agents within the AIOS framework.
A multimodal AI model for enhanced understanding and interaction with mobile user interfaces.
